Distinguish service from automation
Customer metrics and AI operations are tracked separately to avoid misleading conclusions.
Quality & analytics
Manage conversations, AI decisions and workload in one framework.
Analyse volumes, service levels, resolutions, handovers, approvals, action errors and confidence distribution as distinct measures.
Requests handled1 284↑ 4,1 %
Resolved without intervention68 %↑ 3.4 pts
First response42 s↓ 11 s
Satisfaction4,6/ 5
Volume handled · 12 weeks Voice Chat E-mail
Resolution quality
Resolution91 %Useful handover84 %
Signals to watch
3 approvals pending
Billing SLA under watch
Stable chat quality
Service metrics with clear reporting periods
Conversation quality and recurring themes
Resolutions, handovers, approvals and failures
How it works
A clear process, from start to finish.
Understand recurring issues
Recurring quality themes reveal problems in responses, processes or handovers.
See the current state
The wallboard complements historical analysis with current queues, waiting times and availability.
The product in action
Watch the state change, not a decorative image.
The demo shows the information that appears, the rule that applies and the final state your team can use.
Demonstration with fictional data. Updating filters and the wallboardDemo
One product language
Context stays available where your team needs it.
Each module uses the same fictional customers, statuses and control logic to show a coherent product, not a collection of dashboards.
ActionLevelState
Resend a documentAutonomous
Update an addressApproval
Offer a goodwill creditSupervisor
Close a disputeHuman queue
Apply this process to your operation
Let’s discuss a real customer journey.
We start with your request, your rules and the exact point where a human must keep the decision.